Computational Clinical Scientist II, Clinical Bioinformatics

Scorpion Therapeutics; California (MO); On-site; USD 120,000 - 170,000; Full time

Job summary

Scorpion Therapeutics is seeking a Computational Clinical Scientist specializing in biomarker analysis within the Translational Medicine team. The role focuses on integrating molecular and clinical data to identify predictive biomarkers for RAS-driven cancers.

You will analyze genomic, proteomic, and assay data, collaborate with internal teams and CROs, support biomarker-driven trial design and regulatory documents, and interpret data to inform patient selection strategies and mechanisms of

Qualifications

• Requires MS/PhD in a relevant field and oncology bioinformatics experience.
• Proficient in R and Python with strong statistical modeling skills.
• Experience with cancer genomics datasets and interpretation of multi-omic data.

Responsibilities

• Analyze genomic, proteomic, and assay data to validate biomarkers.
• Collaborate with internal teams, CROs, and partners on biomarker-driven trials.
• Support regulatory documents and patient-selection strategies; interpret data for mechanisms of action.

Skills

R

Python

Statistical analysis

Survival analysis

Causal inference

Data visualization

oncology biomarkers

Education

MS or PhD in bioinformatics, biology, or data science

Tools

GATK

Salmon

VEP

Job description

Role

Computational Clinical Scientist specializing in biomarker analysis within the Translational Medicine team, focusing on molecular and clinical data integration to identify predictive biomarkers for RAS-addicted cancers.

Responsibilities

analyze genomic, proteomic, and assay data—including circulating tumor DNA, RNA/DNA sequencing, and immunohistochemistry to validate biomarkers; collaborate with internal teams, CROs, and partners; support biomarker-driven trial design and regulatory documents; interpret data to elucidate mechanisms of action and patient selection strategies.

Requirements

MS or Ph.D. in bioinformatics, biology, or data science; at least 2 years of biotech/pharma experience in oncology-focused bioinformatics; proficiency in R and/or Python; solid understanding of statistical models, clinical outcome data, and cancer genomics tools (e.g., GATK, Salmon, VEP); experience with survival analysis, causal inference, and visualization techniques.

Preferred

familiarity with large genomic datasets (GDC, TCGA), software development practices, cloud computing, and additional cancer genomics tools.

HighValue

oncology, RAS pathway, biomarker validation, clinical trial data analysis, molecular profiling.

Work Setup

unspecified; likely collaborative environment given cross-functional interaction.